Low complexity underwater image enhancement based on dark channel prior

Hung Yu Yang, Pei-Yin Chen, Chien Chuan Huang, Ya Zhu Zhuang, Yeu Horng Shiau

Research output: Contribution to conferencePaper

53 Citations (Scopus)

Abstract

Blurred underwater image is always an annoying problem in the oceanic engineering. In this paper, we propose an efficient and low complexity underwater image enhancement method based on dark channel prior. Our method employs the median filter instead of the soft matting procedure to estimate the depth map of image. Moreover, a color correction method is adopted to enhance the color contrast for underwater image. The experimental results show that the proposed approach can effectively enhance the underwater image and reduce the execution time. Besides, this method requires less computing resource and is well suitable for implementing on the surveillance and underwater navigation in real time.

Original languageEnglish
Pages17-20
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China
Duration: 2011 Dec 162011 Dec 18

Other

Other2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011
CountryChina
CityShenzhen, Guangdong
Period11-12-1611-12-18

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All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

Yang, H. Y., Chen, P-Y., Huang, C. C., Zhuang, Y. Z., & Shiau, Y. H. (2011). Low complexity underwater image enhancement based on dark channel prior. 17-20. Paper presented at 2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011, Shenzhen, Guangdong, China. https://doi.org/10.1109/IBICA.2011.9